FREQUENCY FEATURES FOR DETECTING EVENTS IN VIDEO SEQUENCE OF VIDEO-EEG MONITORING DATA

Autor: D. Murashov, Y. Obukhov, I. Kershner, M. Sinkin

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIV-2-W1-2021, Pp 163-166 (2021)

The work is devoted to the study of the frequency features of the optical flow obtained from the video record of long-term video-electroencephalographic (video-EEG) monitoring data of patients with epilepsy. It is necessary to obtain features to reco

Externí odkaz: https://doaj.org/article/8ca0d68fff93400bae89840bc30d797a

DETECTING EVENTS IN VIDEO SEQUENCE OF VIDEO-EEG MONITORING

Autor: I. Kershner, Y. Obukhov, M. V. Sinkin, D. Murashov

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W12, Pp 155-159 (2019)

In this paper, an algorithm for automated detecting diagnostic events in video channel of video and electroencephalographic (EEG) monitoring data is presented. The analysis of video sequences is focused on identifying a group of frames with high or v

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42d27aeb5a69e8fc108bc75422c9bfe0
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W12/155/2019/isprs-archives-XLII-2-W12-155-2019.pdf

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Frequency features for detecting events in video sequence of video-EEG monitoring data

Autor: D. Murashov, I. Kershner, M. V. Sinkin, Y. Obukhov

Publikováno v: Scopus-Elsevier
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIV-2-W1-2021, Pp 163-166 (2021)

The work is devoted to the study of the frequency features of the optical flow obtained from the video record of long-term video-electroencephalographic (video-EEG) monitoring data of patients with epilepsy. It is necessary to obtain features to reco

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba265cb1e46645d6a1d3999cf2b903fb
http://www.scopus.com/inward/record.url?eid=2-s2.0-85108458853&partnerID=MN8TOARS